Experimental validation of non-contacting measurement method using LED-optical displacement sensors for vibration stress of small-bore piping

Maekawa, Akira; Takahashi, Tsuneo; Tsuji, Takashi; Noda, Michiyasu

doi:10.1016/j.measurement.2015.04.008

Cited by 24 publications

(3 citation statements)

References 20 publications

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“…Obaidat and Attom [108] used two CCD cameras to obtain the strain in soil specimens of two soil tests. Maekawa et al [109] proposed a noncontact measurement method based on the optical displacement sensors using LEDs to measure the vibration stress and used the acquired stress to evaluate the vibration fatigue failure of small-bore piping systems. Carroll et al [110] used the digital image correlation method to measure the strain of structures during the fatigue crack initiation and growth and evaluate the condition of cracks.…”

Section: Structural Strain and Stress Monitoringmentioning

confidence: 99%

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications

2016

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In the past two decades, a significant number of innovative sensing and monitoring systems based on the machine vision-based technology have been exploited in the field of structural health monitoring (SHM). This technology has some inherent distinctive advantages such as noncontact, nondestructive, long distance, high precision, immunity to electromagnetic interference, and large-range and multiple-target monitoring. A lot of machine vision-based structural dynamic measurement and structural state inspection methods have been proposed. Real-world applications are also carried out to measure the structural physical parameters such as the displacement, strain/stress, rotation, vibration, crack, and spalling. The purpose of this review article is devoted to presenting a summary of the basic theories and practical applications of the machine vision-based technology employed in structural monitoring as well as its systematic error sources and integration with other modern sensing techniques.

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Section: Structural Strain and Stress Monitoringmentioning

confidence: 99%

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications

2016

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“…Even if the instrument can be measured by precision instruments, the cost is still too high. It is an effective method to obtain the vibration displacement by acceleration signal [7][8]. However, the speed signal and the displacement signal are obtained by the acceleration signal.…”

Section: Vibration Displacement Signalmentioning

confidence: 99%

A Vibration Signal Processing of Large-scale Structural Systems Based on Wireless Sensor

Xue

2017

Int. J. Onl. Eng.

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The inherent characteristics of large-scale structural system are also called modal parameters, which include natural frequency, damping ratio and vibration mode. They are the basis for analyzing dynamic characteristics of large-scale structural system. Modal Parameter Identification is a modern method, and it is used to identify the vibration signals. At present, the problem of large-scale structural system security is paid more and more attention to, so the method of modal parameter recognition is very significant. A fast integral method is put forward to eliminate the trend item of vibration signals, and the vibration signals are collected through the wireless sensor network (acceleration signal), so as to obtain the integrated vibration signal (speed and displacement signal). The polynomial fitting method is applied to eliminate the trend items in the sampling integral, and improve the operation speed and accuracy by the relationship among the various coefficients. Then, they are discretized to meet the wireless sensor network requirements of "online" processing and analysis. Through the simulation of acceleration signals based on finite element modeling and the processing of actual acquisition acceleration signals based on wireless sensor network, the effectiveness of this method was verified. As a result, the precision effect by sampling frequency and the data length is summarized

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“…Other optical methods have been developed to determine the displacement of vibrating objects. Light emission diodes (LED) were, for instance, used to measure the bending and torsional vibrations of pipes [10][11][12]: the pipe is located between a projector and a receiver to create a shaded area on the receiver. The vibration of the pipe can then be detected by measuring the amount of light that reaches the receiver.…”

Section: Introductionmentioning

confidence: 99%

A Vibrometer Based on Magnetorheological Optical Resonators

Rubino

Ioppolo

2018

Vibration

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This paper addresses the feasibility of an optical vibrometer that is based on the shift of the optical modes, also known as whispering gallery modes (WGMs), of a magnetorheological optical resonator. The optical resonator that is used in this study is fabricated by mixing polyvinyl chloride plastisol with magnetically polarizable particles. When a permanent magnet that is located nearby the optical resonator is moved, it induces a perturbation of the morphology of the resonator, due to the magnetostrictive effect. This change in the morphology induces a shift in the optical modes of the resonator. The shift of the optical modes can be related to the displacement of the permanent magnet. The proposed sensor concept is based on monitoring the displacement of a tiny magnet that is attached to a moving surface. The optical quality factor of the resonator used in these studies was of the order of 106. The experimental results show a sensitivity of 0.32 pm/μm and a resolution that is less than 300 nm.

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Experimental validation of non-contacting measurement method using LED-optical displacement sensors for vibration stress of small-bore piping

Cited by 24 publications

References 20 publications

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications

A Vibration Signal Processing of Large-scale Structural Systems Based on Wireless Sensor

A Vibrometer Based on Magnetorheological Optical Resonators

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